Using IPython for interactive work

• Introducing IPython
  • The four most helpful commands
  • Tab completion
  • Exploring your objects
  • Magic functions
  • History
  • System shell commands
  • Configuration
• IPython Tips & Tricks
  • Embed IPython in your programs
  • Run doctests
  • Use IPython to present interactive demos
  • Suppress output
  • Lightweight ‘version control’
• IPython reference
  • Command-line usage
  • Interactive use
  • IPython as your default Python environment
  • Embedding IPython
  • Using the Python debugger (pdb)
  • Extensions for syntax processing
  • GUI event loop support
  • Plotting with matplotlib
  • Interactive demos with IPython
• IPython as a system shell
  • Overview
  • Aliases
  • Directory management
  • Environment variables
  • Prompt customization
  • String lists
• A Qt Console for IPython
  • %load
  • Inline Matplotlib
  • Saving and Printing
  • Colors and Highlighting
  • Fonts
  • Process Management
  • Qt and the QtConsole
  • Regressions
• The IPython Notebook
  • Introduction
  • Starting the notebook server
  • Notebook user interface
  • Structure of a notebook document
  • Basic workflow
  • Plotting
  • Configuring the IPython Notebook
  • Importing .py files
• Converting notebooks to other formats
  • Notebook JSON file format
• Running a notebook server
  • Notebook security
  • Running a public notebook server
  • Running with a different URL prefix
  • Using a different notebook store
  • Known issues